AI Explained: Verified Data is a Missing Piece of the Agentic Infrastructure Puzzle
August 20, 2026
10:00AM PT / 1:00PM ET
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Many enterprises are racing to put agentic AI into production. Very few have the data foundation to make it work. Agents don't just read data, they act on it in credit decisions, compliance checks, sales workflows, and supply chain calls. When the underlying data isn't verified or governed, autonomy becomes a liability. Join Gary Kotovets, Chief Data & Analytics Officer at Dun & Bradstreet, for a candid conversation about why verified data is where agentic AI reliability must start.
What you'll learn:
- Why does agentic AI deployments move faster when the data layer is already trusted? What does "trusted data" actually require to build?
- What should governance frameworks look like when AI agents make autonomous decisions, not just surface recommendations?
- How do data lineage and entity resolution keep multi-agent workflows accurate as agents hand off information across systems?
AI Explained is our AMA series featuring experts on the most pressing issues facing Agentic and AI teams.
Featured Speakers
Gary Kotovets
Chief Data & Analytics Officer
at
Dun & Bradstreet
Gary Kotovets is Chief Data & Analytics Officer at Dun & Bradstreet, where he leads the company's global data and AI strategy. Before joining D&B, he spent nearly two decades at Bloomberg LP as Global Head of Data Acquisition and Management.
Krishna Gade
Founder and CEO
at
Fiddler AI
Krishna Gade is the Founder and CEO of Fiddler AI, where he is building the control plane for AI systems — helping enterprises monitor, evaluate, and control models and autonomous agents in production. Previously, he time at Microsoft working on search ranking for Bing, and later led data and machine learning teams at Twitter and Pinterest. He is most known for his work on AI Explainability at Facebook/Meta and these days he is now focused on making AI systems trustworthy, scalable, and production-ready for the enterprise.